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Sign in| Feature | Etlworks | Zoho Creator | ServiceNow | Emakin | BlinkOps | ADA |
|---|---|---|---|---|---|---|
| Category | Data integration & automation | Low-code builder | Workflow automation | Low-code app builder | Ops automation | Low-code / gov apps |
| Primary Purpose | ETL, ELT, CDC, real-time pipelines | Internal apps, forms, workflow logic | Service workflows and approvals | Business workflows and apps | Operational task automation | Government workflows and forms |
| Data Pipelines | ✓ Full ETL/ELT/CDC | ✕ | ✕ | ✕ | ✕ | ✕ |
| Real-time CDC | ✓ Yes | No | No | No | No | No |
| Transformations | SQL, mapping, scripting | Basic formulas | Limited | Basic field logic | None | Basic |
| Connectors | Databases, APIs, files, SaaS | APIs only | SaaS + ITSM | APIs | APIs | APIs |
| Workflow Automation | Yes | ✓ Yes | ✓ Strong | ✓ Yes | ✓ Yes | ✓ Yes |
| App Building | No | ✓ Yes | ✓ Yes | ✓ Yes | No | ✓ Yes |
| On-premise Deployment | ✓ Yes | Limited | Limited | No | No | Limited |
| Gov / Air-gapped Support | ✓ Full | No | Complex | No | No | Partial |
| Performance | Processes millions of rows/hour | Not built for large data | Not built for data | Not built for data | Not built for data | Not built for data |
| Ideal Use Case | Complex integrations and pipelines | Internal apps and forms | Employee and IT workflows | Business applications | Ops automation | Government workflows |
Compare Workflow, Automation, and Low-Code Platforms
See how Etlworks compares to low-code automation platforms. Understand how workflow tools differ from enterprise integration platforms.
Side-by-side comparison
Difference & Synergy
Why Etlworks Complements Workflow and Low-Code Platforms
Purpose-Built for Data, Not Forms or Workflows
Workflow and low-code platforms focus on approvals, forms, and process automation. Etlworks is built for a completely different layer: large-scale data movement, CDC, transformations, and system-to-system synchronization. This makes Etlworks the ideal engine for handling data-intensive workloads these platforms are not designed to manage.
The Data Backbone Behind Workflow Applications
Many organizations use Etlworks to feed accurate, real-time data into their workflow or low-code systems. Etlworks unifies databases, APIs, SaaS apps, and files into a clean and reliable data layer, enabling workflow platforms to operate on trusted, up-to-date information without custom integration development.
Scales Where Workflow Tools Do Not
Low-code and automation platforms handle process logic well but struggle with large datasets, heavy transformations, or real-time replication. Etlworks processes millions of records per hour, supports log-based CDC across major databases, and performs complex mapping and enrichment tasks with ease.
Works Side-by-Side in Modern Architectures
Etlworks integrates seamlessly with workflow and low-code tools, enabling a best-of-both-worlds architecture: data pipelines handled by Etlworks and business workflows handled by the platform of choice. Together they power analytics, automation, compliance processes, APIs, and master data operations without overlap or redundancy.